Extracellular Signal-Regulated Kinases 1 and 2 Phosphorylate Gab2 To Promote a Negative-Feedback Loop That Attenuates Phosphoinositide 3-Kinase/Akt Signaling
Bibliographic record
Abstract
The scaffolding adapter protein Gab2 (Grb2-associated binder) promotes cell proliferation, survival, and motility by engaging several signaling pathways downstream of growth factor and cytokine receptors. In particular, Gab2 plays essential roles in mast cells, as it is required for phosphoinositide 3-kinase (PI3K) activation in response to Kit and the high-affinity IgE receptor. While the positive role of Gab2 in PI3K signaling is well documented, very little is known about the mechanisms that attenuate its function. Here we show that Gab2 becomes phosphorylated on multiple proline-directed sites upon stimulation of the Ras/extracellular signal-regulated kinase (ERK) signaling pathway. We demonstrate that ERK1 and ERK2 interact with Gab2 via a novel docking motif, which is required for subsequent Gab2 phosphorylation in response to ERK1/2 activation. We identified four ERK1/2-dependent phosphorylation sites in Gab2 that prevent the recruitment of the p85 regulatory subunit of PI3K. Using bone marrow-derived mast cells to study Gab2-dependent signaling, we found that the inhibition of ERK1/2 activity promotes Akt signaling in response to Kit and the high-affinity IgE receptor. Together, our results indicate that ERK1/2 participates in a negative-feedback loop that attenuates PI3K/Akt signaling in response to various agonists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".